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applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial
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. The initial term for this position is one year; reappointment for a second year is contingent upon funding. The postdoc will work with closely with Minlan Yu and other group members focused on networking
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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fabricating nanoelectronics and flexible electronics. An extensive experience in cleanroom nanofabrication is required. The postdoc is also expected to collaborate with other researchers to apply
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Institute at Harvard and will be encouraged to participate in the Harvard and Boston scientific community. Harvard University postdocs are offered competitive salaries and comprehensive benefits packages